Sites

Children’s Hospital Los Angeles (CHLA)

Site PI: Randall Wetzel, MBBS, MRCP, LRCS, MSB, FAAP, FCCM
Dr. Wetzel is the founder and Director of The Laura P. and Leland K. Whittier VPICU at Children’s Hospital Los Angeles. He is a tenured Professor of Pediatrics and Anesthesiology at the University of Southern California and has served as an attending physician in pediatric critical care for over 40 years both at Johns Hopkins Hospital and at Children’s Hospital Los Angeles. Dr. Wetzel completed his undergraduate and medical degrees in the UK. He then trained in pediatrics at Case Western’s Rainbow Babies and Children’s Hospital, Critical Care Medicine at Johns Hopkins Hospital and subsequently Anesthesiology at Hopkins. He is board certified in Pediatrics, Pediatric Critical Care, Anesthesiology and Pediatric Anesthesiology. Additionally he received an MBA with a focus on information technology from Hopkins. Recently his research has involved data science applied to critical care medicine. He has served as the Director of Critical Care Medicine and as the Chairman of Anesthesiology Critical Care Medicine at CHLA. He has trained hundreds of residents and over 100 critical care fellows. He also founded Virtual Pediatric Systems which collects information of all admissions to over 160 pediatric ICUs in the United States.

Lurie Children’s Hospital of Chicago

Site PI: L. Nelson Sanchez-Pinto, MD, MBI, FAMIA
Dr. Sanchez-Pinto is a pediatric critical care physician, biomedical informatics specialist, and data science researcher at Northwestern University Feinberg School of Medicine and Ann & Robert H. Lurie Children’s Hospital of Chicago. His NIH-funded research focuses on discovering and evaluating data-driven phenotypes of critical illness by integrating clinical, physiologic, and multi-omics data in patients with sepsis, acute respiratory distress syndrome (ARDS), and multiple organ dysfunction syndrome (MODS). His goal is to develop, test, and operationalize predictive and prognostic enrichment strategies that can help clinicians provide more personalized and targeted care to critically ill children.

Seattle Children’s Hospital

Site PI: Reid Farris, MD, MS
Dr. Farris is an Associate Professor of critical care medicine in the University of Washington Department of Pediatrics. He is an attending physician in the pediatric medical & surgical ICU at Seattle Children’s Hospital and pediatric trauma and burn ICU at Harborview Medical Center. His research interests center around leveraging large, clinical databases to answer a broad range of questions and improve the quality of the care for critically ill pediatric patients.

Children’s Hospital of Philadelphia (CHOP)

Site PI: Akira Nishisaki, MD, MSCE
Dr. Nishisaki received his MD from Nagoya University School of Medicine in Japan and earned Master of Science degree in Biostatistics and Epidemiology at the University of Pennsylvania School of Medicine. He completed Pediatric Residency training in both in Japan and in the United States. He completed his Pediatric Critical Care Fellowship at Children’s Hospital of Philadelphia. His research focuses are to optimize safety and quality of care for critically ill or injured children with multicenter data and technology integration. Inspired by adult emergency medicine National Emergency Airway Registry, he has developed an international multicenter pediatric and neonatal airway management registry (National Emergency Airway Registry for Children: NEAR4KIDS and National Emergency Airway Registry for neonates: NEAR4NEOS). He is interested in developing clinical management support using the large multicenter data

Children’s Hospital Colorado

Site PI: Tell Bennett, MD, MS
Dr. Bennett is a pediatric intensivist and informaticist/data scientist. His research, which has been supported by NICHD, NCATS, NHLBI, BARDA, the state of Colorado, and other funders, is focused on critical care decision-making, high-dimensional prediction modeling, electronic health record data, and clinical decision support tool implementation. He is board-certified in Pediatrics, Pediatric Critical Care Medicine, and Clinical Informatics and has completed a post-doctoral fellowship in Biomedical Data Science. He is the Informatics Director of his institution’s NIH-supported CTSA hub, the Colorado Clinical and Translational Science Institute (CCTSI) and is a PI in the University of Colorado Center for Health Artificial Intelligence. He currently leads the Section of Informatics and Data Science in the University of Colorado School of Medicine’s Department of Pediatrics.

University of Rochester – Golisano Children’s Hospital

Site PI: Adam Dziorny, MD, PhD
Dr. Dziorny received his B.S. in Biomedical Engineering and Computer Science at Johns Hopkins University. He earned his MD and PhD from the University of Rochester and a certificate in Clinical Informatics at the Oregon Health and Science University. He completed his Pediatric residency at the Children’s Hospital of Philadelphia where he also was a Chief Resident and stayed on for his dual subspecialty training in Pediatric Critical Care and Clinical Informatics. His research interests lie at the intersection of data science and pediatric clinical care. He has developed a data-driven software platform to automatically attribute patients to trainees and has received several foundation grants to support this multi-institutional program to enhance graduate medical education. Additionally, he is interested in effective clinical decision support in the critical care environment and has ongoing collaborations to understand the current state as well as test improved decision support methods.

Texas Children’s Hospital

Site PI: Curtis Kennedy, MD, PhD
Dr. Kennedy graduated from UT Austin in 1993 with BS and BA degrees in Chemistry and Biochemistry. He obtained my MD from Baylor College of Medicine in 1997, and remained at Baylor for residency in Pediatrics and fellowship in Pediatric Critical Care. During fellowship, he began training in Informatics at The University of Texas School of Health Information Sciences (now the School of Biomedical Informatics), earning a Master’s degree in 2006, and a PhD in 2010. Dr. Kennedy’s chief research interest is in prediction modeling based on time series analyses. His main focus is in predicting cardiac arrest in pediatric intensive care patients. He is also interested in clinical decision support, and being able to automatically detect potentially important events and to provide clinicians with information that may not be readily available as part of routine medical care. Dr. Kennedy is a programmer, and has designed and operate a decision support tool at Texas Children’s Hospital that culls information from the EMR (electronic medical record), automates clinically relevant calculations, and delivers this information over multiple channels to a variety of users ranging from bedside caregivers to researchers.

Lucile Packard Children’s Hospital Stanford

Site Co-PI: Timothy Cornell, MD

Site Co-PI: Daniel S. Tawfik, MD, MS
Dr. Tawfik is a pediatric critical care physician, data scientist, and health services researcher at Stanford University School of Medicine. He completed pediatric critical care fellowship at Lucile Packard Children’s Hospital Stanford in 2017 and a master’s degree in Health Research and Policy in 2018. His career interests lie at the intersection of informatics, pediatric critical care, and human factors, focused on characterizing the operational features of high-performing health care systems. His research, supported by AHRQ and the AMA, applies computational approaches to predicting and improving provider well-being as an important contributor to quality of care.

Riley Children’s Health – Indiana University

Site PI: Colin Rogerson, MD, MPH
Dr. Rogerson is an Assistant Professor of Pediatrics in the Division of Pediatric Critical Care at Riley Hospital for Children in Indianapolis, Indiana. He also has an appointment as an investigator at the Regenstrief Institute Center for Biomedical Informatics. His research focuses on the application of health informatics, data science, and machine learning methods to the study of severe pediatric respiratory diseases. He is an active member of several national and international research collaboratives, and enjoys mentoring medical trainees at all levels.

University of Minnesota

Site PI: Julia Heneghan, MD, MS
Dr. Heneghan is a pediatric intensivist at the University of Minnesota Masonic Children’s Hospital. She received her medical degree from the Warren Alpert Medical School of Brown University in 2013. She completed her pediatric residency training at Rainbow Babies & Children’s Hospital and subspecialty training in pediatric critical care at Children’s National Medical Center. During fellowship, Dr. Heneghan additionally earned a master’s of science in clinical and translational research from the GeorgeWashington University School of Medicine and Health Sciences. Dr. Heneghan’s research interests include the long-term outcomes of critically ill children, particularly those who are supported by medical technology, as well as the use of novel analytic techniques and biomedical informatics in pediatric critical care research.

Oregon Health & Science Institute

Site Co-PI: Matthew Hudkins, MD
Dr. Hudkins is a clinical informatics fellow and pediatric critical care medicine physician. His informatics interests are in use of operational data and large data sets to answer clinical questions, effective clinical decision support, and technology usage in the ICU. 

Site Co-PI: Benjamin Orwoll, MD, MS

Emory University – Children’s Healthcare of Atlanta

Site Co-PI: Jocelyn Grunwell, MD, PhD
Dr. Grunwell is is an Assistant Professor of Pediatrics in the Division of Critical Care Medicine at Emory University and Children’s Healthcare of Atlanta. Dr. Grunwell’s research focuses on the airway immune response in children who are at risk for developing and who are diagnosed with acute respiratory distress syndrome.

Site Co-PI: Stephanie Brown, MBBS, MS
Dr. Brown is a Pediatric Intensivist at Children’s Healthcare of Atlanta and Assistant Professor of Pediatrics in the Division of Pediatric Critical Care Medicine at Emory University School of Medicine. She earned her medical degree at the University of Queensland in Brisbane, Australia and completed pediatric residency at Rainbow Babies and Children’s Hospital. She then completed pediatric critical care fellowship at Seattle Children’s Hospital and concurrently earned a Master of Science in Epidemiology in the Clinical and Translational Research track. Her work focuses on the use of data science and machine learning approaches to optimize initiation of extracorporeal life support in critically ill children.

University of Wisconsin-Madison

Site Co-PI: Anoop Mayampurath, PhD
Dr. Mayampurath co-leads the ICU Data Science Lab at the University of Wisconsin. He develops models to predict outcomes in patients using electronic health record data and machine learning. Dr. Mayampurath’s particular interest is developing explainable models for predicting outcomes in hospitalized children.

Site Co-PI: Neil Munjal MD, MS
Dr. Munjal is a pediatric neurointensivist interested in acute and chronic brain injury care. Dr. Munjal’s research interests focus on developing machine learning techniques to predict neurological deterioration using both an electronic health record and high-resolution imaging. Using ICU data, Dr. Munjal’s research explores the causal underpinnings of patient physiology with an aim to eventually use these informatics techniques in areas with low resource utilization.

Cincinnati Children’s Hospital

Site Co-PI: Eneida Mendonca, MD, PhD, FAAP, FACMI, FIAHSI
Dr. Mendonca is director of the Division of Biomedical Informatics at Cincinnati Children’s Hospital Medical Center and a Professor in the Department of Pediatrics. 

Site Co-PI: Maya Dewan, MD, MPH
Dr. Dewan’s research focuses on using the electronic health record to increase situation awareness to aid in the prediction and prevention of deterioration in PICU patients.

Boston Children’s Hospital

Site PI: Alon Geva, MD, MPH
Dr. Geva is a pediatric intensivist, clinical informaticist, and researcher in biomedical informatics at Boston Children’s Hospital and Harvard Medical School, from which he earned his undergraduate, medical, and MPH degrees. He also completed a postdoctoral (T32) fellowship in biomedical informatics under the mentorship of Dr. Kenneth Mandl. He practices in both the medical-surgical ICU and the cardiac ICU. Dr. Geva conducts research at the intersection of biomedical informatics, health services research, quality improvement, and critical care medicine. He applies computational methods to the study of health systems—in particular, synthesizing the massive, real-world data generated in the intensive care unit. His current projects focus on cohort identification and characterization using electronic health records data, application of natural language processing, assessment of medication use and safety, and development of clinical decision support applications for the bedside.

University of Virginia

Site PI: Michael Spaeder, MD
Dr. Spaeder is a Professor of Pediatrics in the Division of Pediatric Critical Care at theUniversity of Virginia School of Medicine in Charlottesville, Virginia. He is the Program Director for the fellowship program in pediatric critical care medicine at the University of Virginia. His research, based in the Center for Advanced Medical Analytics at the University of Virginia, focuses on the use of physiologic monitoring data to identify patients at risk for clinical deterioration.

Duke University

Site PI: Rishikesan Kamaleswaran, PhD
Dr. Kamaleswaran is an Associate Professor at Duke University School of Medicine, Department of Surgery, with secondary appointments in Anesthesiology, Biomedical Engineering and Electrical and Computer Engineering. He earned his Ph.D. in Computer Science from the University of Ontario Institute of Technology in Canada. His research is funded by several federal and regional agencies including the National Institutes of Health, Veteran’s Affairs, Department of Defence, Michael J. Fox Foundation, and the CF Foundation.